The integration of sequencing data with clinical information is a widely accepted strategy in bioinformatics and health informatics. Despite advanced databases and sophisticated tools for processing omics data, challenges remain in handling the raw clinical data (typically in XLSX format with multiple sheets inside), either exported from health information system (HIS) or manually collected by investigators. This is particularly difficult for time-constrained medical staff with little or no programming background, and it is typically the first bottleneck in many clinical-oriented studies. To fill this gap, we developed EasyMergeR, a simple, user-friendly, code-free R Shiny application that allows interactive manipulation of multiple XLSX files with multiple sheets and provides basic data manipulation capabilities based on the tidyverse and other handy R packages.